Hana Data Engineer

• Apples Global Business Intelligence (GBI) team is seeking Software Engineers to work on building intuitive products to provide insights to our business
• The ideal team member will be able think outside of the box and should have real passion for building analytical solutions to enable business in making time sensitive and critical business decisions

, key Qualifications:

• 4+ years of experience in Data Warehouse/Business Intelligence space

We would like for you to have

• In-depth understanding of SAP HANA data Modeling, algorithms and version managementStrong hands-on experience in Data warehouse development in SAP HANAHave a good experience in core HANA data modelingExperience in designing and developing ETL data pipelines using SLT and BODS
• Experience in developing UI reporting solutions using XSJS/XSA
• Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs and Scripting
• You will demonstrate excellent understanding of development processes and agile methodologiesStrong analytical and interpersonal skills
• Enthusiastic, highly motivated and ability to learn quick
• Thrives in a dynamic, fast-paced environment with multiple opposing priorities, description:- Work closely with business process owners to understand data and solution requirements
• - Design and build data models on HANA to provide efficient business solutions and analytical capabilities
• - Design and build highly scalable data pipelines using native HANA tools like SLT and BODS
• - Translate complex business requirements into scalable technical solutions meeting HANA data modeling design standards
• - Build business interactive solutions using XSJS/XSA
• - Collaborate with multiple multi-functional teams and work on solutions which has larger impact on Apple business
• - We seek a self starter, forward-thinking person with strong leadership capabilities
• - Ability to communicate effectively with technical and non-technical multi-functional teams
• - You will interact with many other group s internal team to lead and deliver outstanding products in an exciting fast-paced environment- Dynamic people and inspiring, innovative technologies are the norm here
• education And Experience:bachelors Degree or equivalent in data engineering, computer science or similar field